Fuzzy System Identification Using Gaussian Mixture Models

Gan, Ming Tao (2007) Fuzzy System Identification Using Gaussian Mixture Models. Masters thesis, Multimedia University.

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Abstract

The thesis is structured into 4 major studies, each presented under a separate chapter.Chapter 1 - A theoretical bridge associating a Gaussian Mixture Model (GMM) to an additive fuzzy system is uncovered. Chapter 3 - Invoke the Jacobi vs Gauss_seidel analogy in an attempt to speed up the rate of EM convergence. Chapter 4 - The theses proposes an adaptation of the EM that minimizes the average predicted error, in conjunction with maximizing likelihood.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 23 Aug 2010 03:19
Last Modified: 23 Aug 2010 03:19
URI: http://shdl.mmu.edu.my/id/eprint/1147

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